Vol. 4 (6) : November-December 2013 issue
Green Farming Vol. 4 (6) : 700-704 (November-December, 2013)
Association studies for higher alkaloid content & its component traits in makoi (Solanum nigrum L.) genotypes
T. NANDHINI1* and P. PARAMAGURU2
Department of Medicinal and Aromatic Crops, Horticultural College and Research Institute, Tamil Nadu Agricultural University, Coimbatore - 641 003 (Tamil Nadu)
Designation : 1Ph.D. Scholar *(tnandhi@gmail.com), 2Professor & Head
Subject : Medicinal & Aromatic Plants, Food Shrub and Fruits
Paper No. : P-1004
Total Pages : 5
Received : 28 June 2013
Revised accepted : 24 October 2013
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Citation :
T. NANDHINI and P. PARAMAGURU. 2013. Association studies for higher alkaloid content & its component traits in makoi (Solanum nigrum L.) genotypes. Green Farming Vol. 4 (6) : 700-704 ; November-December, 2013
ABSTRACT
An investigation to study the variability and association of characters for high alkaloid yield was conducted during kharif 2011-12 at Department of Medicinal and Aromatic Crops, TNAU, Coimbatore. The experiment was laid out in Randomized Block Design with three replications. The mean performance of the genotypes indicated TN Sn 10 had significant higher fresh and dry herbage yield and high total alkaloid content. Genotypic and phenotypic correlations and path coefficient were studied for 9 economic traits in 45 genotypes of makoi (Solanum nigrum L.). The genotypic correlation coefficients were higher than phenotypic correlation coefficients for most of the traits. The fresh and dry herbage yield per plant has a highly significant positive genotypic and phenotypic association with total alkaloid content. Days to 50% flowering recorded significant negative correlation with total alkaloid content. Path coefficient analysis revealed the maximum direct effect of the dry herbage yield per plant. Thus, selection based fresh and dry herbage yield which would be favourable in achieving sustainable gains in makoi with high total alkaloid yield.
Key words :
Genotypic, Mean performance, Path coefficient analysis, Phenotypic correlation, Solanum nigrum